https://github.com/maple-research-lab/CaCo

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
https://github.com/maple-research-lab/CaCo

caco computer-vision contrastive-learning representation-learning self-supervised-learning unsupervised-learning

Last synced: about 2 months ago
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CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning

• Host: GitHub
• URL: https://github.com/maple-research-lab/CaCo
• Owner: maple-research-lab
• License: mit
• Created: 2022-03-27T18:51:18.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-10T05:04:49.000Z (7 months ago)
• Last Synced: 2024-07-14T17:45:36.504Z (2 months ago)
• Topics: caco, computer-vision, contrastive-learning, representation-learning, self-supervised-learning, unsupervised-learning
• Language: Python
• Homepage:
• Size: 250 KB
• Stars: 17
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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